Abstract: Historical data used for supervised learning may contain discrimination. We study how to train classifiers on such data, so that they are discrimination free with respect to a given ...

Goffin’s cockatoos excel at basic weight sorting but struggle with more complex tasks requiring associating heavier/lighter ...

Handling Conditional Discrimination: This paper argues that most fairness techniques aim to remove all discrimination and do not take into account the part of discrimination that may be explanable by ...

Fairness algorithms, a recent topic in machine learning, aims to avoid outcome decisions that are unfair to certain groups or individuals. In this project we implement two of such fairness algorithms, ...

The American Journal of Psychology, Vol. 95, No. 4 (Winter, 1982), pp. 571-580 (10 pages) Pigeons learned a pair of two-choice conditional discriminations concurrently. One was red/green identity ...